远程工作雷达

分析与数据科学高级总监,核心产品与增长

Senior Director, Analytics and Data Science, Core Product & Growth

市场运营限定地区(需当地身份)
公司Life360
薪资未公开
工作地点Remote, USA; Remote, Canada
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间20 天前
数据来源Greenhouse
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注意地域限制:该职位明确限定在 Remote, USA; Remote, Canada 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关于Life360

Life360的使命是让人们与所爱的人保持亲近。我们领先的移动应用、Tile追踪设备和宠物GPS追踪器,通过位置共享、安全驾驶报告和碰撞检测及紧急调度等服务,使会员能够保护他们最关心的人、宠物和物品。截至2026年6月30日,Life360在全球180多个国家拥有约1.024亿月活跃用户(MAU)。

Life360通过无缝协调所有重要时刻,为家庭生活带来安心和便利。通过持续创新和为客户服务,我们已成为家喻户晓的品牌,是家庭(以及那些基本上像家人的朋友)必不可少的基于移动的应用会员。

Life360拥有500多名(且还在增长中)以远程为主工作的员工。更多信息,请访问life360.com。

Life360是一家以远程工作为先的公司,这意味着远程工作环境将是所有员工的主要体验。除非另有说明,所有职位均可在美国和加拿大境内远程完成,无论上述任何指定地点如何。

我们是AI原生公司

我们正在打造一家AI原生公司,其中AI是构建和运营的重要组成部分。面试期间AI工具的使用因职位而异。你可能会被要求展示对AI工具的熟练程度,讨论你如何利用AI,或在不使用AI辅助的情况下完成面试练习。在面试过程中,你的招聘经理会提供明确的指导。

未经与你的招聘经理讨论或批准的AI不当使用可能会影响你的候选资格。

关于团队

数据与分析团队(DnA)是一个超过60人的组织,涵盖数据工程、分析工程、分析/决策科学和数据科学/机器学习。科学团队分为两个子团队,分别专注于MAU和收入。该职位负责MAU中的决策科学和数据科学。

你和你的团队将负责理解MAU背后的影响因素:为什么成员加入,为什么留下,以及为什么再次回来。团队与产品、营销和工程部门合作,将这些见解融入日常工作中,这些工作塑造了我们的路线图。

我们的数据对于一家消费公司来说是不寻常的。Life360衡量的是家庭和圈层,而不是个人,因此一个成员的行为会影响另一个成员,这使得测量问题不同于标准漏斗。

查看英文原文

About Life360

Life360's mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.

We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

The Data & Analytics Team (DnA) is a 60+ person organization spanning data engineering, analytics engineering, analytics/decision science, and data science/ML. The science teams are organized into two sub teams, focusing on MAU and Revenue. This role leads decision science and data science within MAU.

You and your team will be responsible for understanding the drivers behind MAU: why members come, why they stay, and why they return. The team partners with product, marketing, and engineering to put those learnings into everyday work, and that work shapes our roadmaps.

Our data is unusual for a consumer company. Life360 measures families and circles rather than individuals, so one member's behavior affects another's, which makes measurement a different problem than a standard funnel. With billions of location events, driving behavior, crash detection, and Tile and Pet GPS trackers, we get a rich picture of physical behavior that few consumer companies can build.

About the Job

This Senior Director leads MAU Analytics and Data Science.

You and your team will work across acquisition, activation, engagement, and retention on the analysis, models, and experiments behind each. A lot of what this role owns needs to be built rather than maintained: the measurement, the standards, and how the team uses AI. The team is also raising its craft, and coaching people through that is an important part of the job. Within a year, your team members will be operating at an elevated skill level, proactively bringing key questions to light, and serving as trusted advisors whom stakeholders consult for strategic guidance rather than simple task execution.

You will report to the Head of Data and work closely with counterparts leading Revenue Analytics and Data Science, and with the leaders of Data Engineering.

For candidates based in the US, the salary range for this position is $247,000 to $366,000 USD. For candidates based out of Canada, the salary range for this position is $286,000 to $339,000 CAD. We take into consideration an individual's background and experience in determining final salary - therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You'll Do

  • Lead and develop the decision scientists and data scientists on the team, and set the quality bar for both disciplines.
  • Own the MAU driver model and the forecast.
  • Own the exploratory work that drives the strategy to grow MAU.
  • Establish how an analysis gets scoped, run, reviewed, and written up, so its quality does not depend on who picked up the request.
  • Partner with your Revenue counterpart and Data Engineering leadership to define common metrics, align on experimentation standards, and introduce unified operating practices across teams.
  • Build the operating model that gets the team into the roadmap conversation early, with a view on what to build and what to test.
  • Use agents and automated analysis daily, and expect the same of the team.
  • Shape how the team works AI-native: what gets delegated to agents, what gets automated, and what stays human judgment.

What We're Looking For

Required Experience & Qualifications

  • 10+ years in analytics, data science, or decision science, including 5+ years in people management in a senior leadership role.
  • Deep expertise in inferential and causal analytics. Able to lead ML practitioners.
  • Expert knowledge of engagement, retention, churn, and cohort metrics.
  • Experience forecasting a company-level metric and being held to it.
  • SQL, plus Python or R.
  • Experience with Databricks, third party experimentation tools (e.g. Statsig), Tableau or similar BI tools, and AI native BI tools (e.g. Hex, AI/BI).
  • Hands-on with coding agents (Claude Code or equivalent) in your own analytical work.
  • Bachelor's degree or equivalent.

Nice to Have

  • Familiarity with experiment design to identify and control for network effects.
  • Master’s degree or PhD with an emphasis in social science, psychology or other behavioral science.
  • Experience leading a team that reports to you but sits embedded with product and engineering teams.
  • Experience in a B2C subscription business.

Core Expectations

  • You have moved an analytics team from reactive to embedded.
  • You coach and develop people, and you have grown analysts into leaders.
  • On your teams, analysis starts from a hypothesis rather than a data request.
  • You have built the standards a team works from, and got people to use them.
  • You are curious about why people behave the way they do, not just what they did.
  • You decide what the team does not work on, and you can defend it.

Our Benefits

  • Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees.
  • 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
  • Paid parental leave
  • Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
  • Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns
  • Learning & Development programs
  • Equipment, tools, and reimbursement support for a productive remote environment.
  • Free Life360 Platinum Membership and Tile trackers.

Life360 Values

Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference

  • Be a Good Person - We have a team of high integrity people you can trust.
  • Be Direct With Respect - We communicate directly, even when it's hard.
  • Members Before Metrics - We focus on building an exceptional experience for families.
  • High Intensity, High Impact - We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

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